Improving a model of the hybrid photovoltaic system with a storage battery for local object’s self-consumption involving the setting of power consumed from the grid

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.280053

Keywords:

modular structure, SoС(t) schedule, power setting, control scenarios, daily simulation cycle

Abstract

The object of research is energy processes in a hybrid photovoltaic system with a storage battery for the needs of a local object involving the setting of power consumed from the network. The task addressed was to build a mathematical model of energy processes with the function of determining control parameters providing for the possibility of changing control scenarios. The mathematical model of the storage battery has been improved, taking into account the charge modes and discharge currents in terms of accuracy of reproduction of the manufacturer’s specification not worse than 3 %. A structure of the model was proposed with separation of module, which defines control parameters, as well as the schedule of power setting for selected scenarios. A variable is introduced into the model description, which determines the specified power value and ensures the construction of SoС(t) schedule. An additional mode to increase the energy use of the photovoltaic battery and restrictions on the measured value of load power were taken into account. Modeling with a change in time scale was proposed: first, control parameters are determined, followed by modeling in the daily cycle. This eliminates the need for preliminary calculations before modeling and provides the ability to verify the determination of system parameters with subsequent adjustment. A procedure for determining control parameters with power setting and adjusting the model under different control scenarios has been devised. When using archival generation data for the location of the facility, this makes it possible at the design stage to choose an option for implementing the power supply system with the desired indicators. For specific uses, it has been shown that underestimating the power of a photovoltaic battery by only 9 % increases energy costs by 1.72–1.39 times. Overstating power by 16.7 % impairs usage by 13.7 % while reducing costs by 1.4 % to 2.5 %

Author Biographies

Olexander Shavolkin, Kyiv National University of Technologies and Design

Doctor of Technical Sciences, Professor

Department of Computer Engineering and Electromechanics

Iryna Shvedchykova, Kyiv National University of Technologies and Design

Doctor of Technical Sciences, Professor

Department of Computer Engineering and Electromechanics

Victoria Lishchuk, NPC «Ukrenergo»

PhD, Associate Professor, Head of Department

Department of Property Pelations

Yevhen Stanovskyi, Kyiv National University of Technologies and Design

Postgraduate Student

Department of Computer Engineering and Electromechanics

References

  1. Shavelkin, A. A., Gerlici, J., Shvedchykova, I. O., Kravchenko, K., Kruhliak, H. V. (2021). Management of power consumption in a photovoltaic system with a storage battery connected to the network with multi-zone electricity pricing to supply the local facility own needs. Electrical Engineering & Electromechanics, 2, 36–42. doi: https://doi.org/10.20998/2074-272x.2021.2.06
  2. Ali, A. O., Hamed, A. M., Abdelsalam, M. M., Sabry, M. N., Elmarghany, M. R. (2022). Energy management of photovoltaic-battery system connected with the grid. Journal of Energy Storage, 55, 105865. doi: https://doi.org/10.1016/j.est.2022.105865
  3. Shavolkin, O., Shvedchykova, I., Romanchenko, J., Marchenko, R., Yakymets, S. (2022). Installed Power of the Grid-Tied Photovoltaic System with Battery for Self-Consumption of the Local Object. 2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES). doi: https://doi.org/10.1109/mees58014.2022.10005628
  4. Photovoltaic geographical information system. Available at: https://re.jrc.ec.europa.eu/pvg_tools/en/tools.html#SA
  5. Shavolkin, O., Shvedchykova, I., Gerlici, J., Kravchenko, K., Pribilinec, F. (2022). Use of Hybrid Photovoltaic Systems with a Storage Battery for the Remote Objects of Railway Transport Infrastructure. Energies, 15 (13), 4883. doi: https://doi.org/10.3390/en15134883
  6. Iyengar, S., Sharma, N., Irwin, D., Shenoy, P., Ramamritham, K. (2014). SolarCast - an open web service for predicting solar power generation in smart homes. Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings. doi: https://doi.org/10.1145/2674061.2675020
  7. Mehrabani, A., Shobeiry, S. M., Rahimi, M. A., Neghab, A. P. (2023). Multi-Objective Optimization of Microgrid in the Presence of Distributed Energy Resources and Demand Response Programs. 2023 10th Iranian Conference on Renewable Energy & Distributed Generation (ICREDG). doi: https://doi.org/10.1109/icredg58341.2023.10092013
  8. Shavolkin, O. O., Stanovskyi, Ye. Yu. (2022). Hybrid photovoltaic system with storage battery for a local object with setting the value of power consumption from the grid. Journal of Electrical and Power Engineering, 2 (27), 35–42. doi: https://doi.org/10.31474/2074-2630-2022-2-35-42
  9. Ouédraogo, S., Faggianelli, G. A., Notton, G., Duchaud, J. L., Voyant, C. (2022). Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances. Renewable Energy, 199, 816–825. doi: https://doi.org/10.1016/j.renene.2022.09.042
  10. Zarate-Perez, E., Sebastián, R. (2022). Autonomy evaluation model for a photovoltaic residential microgrid with a battery storage system. Energy Reports, 8, 653–664. doi: https://doi.org/10.1016/j.egyr.2022.07.085
  11. Barelli, L., Bidini, G., Bonucci, F., Castellini, L., Castellini, S., Ottaviano, A. et al. (2018). Dynamic Analysis of a Hybrid Energy Storage System (H-ESS) Coupled to a Photovoltaic (PV) Plant. Energies, 11 (2), 396. doi: https://doi.org/10.3390/en11020396
  12. Shavolkin, O., Shvedchykova, I. (2020). Improvement of the multifunctional converter of the photoelectric system with a storage battery for a local object with connection to a grid. 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek). doi: https://doi.org/10.1109/khpiweek51551.2020.9250096
  13. -hour Simulation of a Vehicle-to-Grid (V2G) System. Available at: https://www.mathworks.com/help/physmod/sps/ug/24-hour-simulation-of-a-vehicle-to-grid-v2g-system.html
  14. Simplified Model of a Small Scale Micro-Grid. Available at: https://www.mathworks.com/help/sps/ug/simplified-model-of-a-small-scale-micro-grid.html
  15. Singh, M., Singh, O. (2019). Phasor Solution of a Micro-Grid to Accelerate Simulation Speed. Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE) 2019. doi: https://doi.org/10.2139/ssrn.3351025
  16. Kenzhina, M., Kalysh, I., Ukaegbu, I., Nunna, S. K. (2019). Virtual Power Plant in Industry 4.0: The Strategic Planning of Emerging Virtual Power Plant in Kazakhstan. 2019 21st International Conference on Advanced Communication Technology (ICACT). doi: https://doi.org/10.23919/icact.2019.8701989
  17. Chola, R., Singh, S. B. (2020). A Case Study on 24-h Simulation of V2G System. Advances in Renewable Energy and Sustainable Environment, 131–140. doi: https://doi.org/10.1007/978-981-15-5313-4_13
  18. Patnaik, S., Nayak, M., Viswavandya, M. (2022). Strategic integration of battery energy storage and photovoltaic at low voltage level considering multiobjective cost-benefit. Turkish Journal of Electrical Engineering and Computer Sciences, 30 (4), 1600–1620. doi: https://doi.org/10.55730/1300-0632.3868
  19. Mohamed, T. H., Abdel-Rahim, A. M. (2017). Single area power system voltage and frequency control using V2G scheme. 2017 Nineteenth International Middle East Power Systems Conference (MEPCON). doi: https://doi.org/10.1109/mepcon.2017.8301298
  20. Tremblay, O., Dessaint, L.-A., Dekkiche, A.-I. (2007). A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles. 2007 IEEE Vehicle Power and Propulsion Conference. doi: https://doi.org/10.1109/vppc.2007.4544139
  21. Iqbal, M. M., Kumar, S., Lal, C., Kumar, C. (2022). Energy management system for a small-scale microgrid. Journal of Electrical Systems and Information Technology, 9 (1). doi: https://doi.org/10.1186/s43067-022-00046-1
  22. Sotnyk, I. M., Zavdovyeva, Y. M., Zavdovyev, O. I. (2014). Multi-rate Tariffs in the Management of Electricity Demand. Mechanism of Economic Regulation, 2, 106–115. Available at: https://mer.fem.sumdu.edu.ua/content/acticles/issue_21/IRYNA_M_SOTNYK_YULIA_N_ZAVDOVYEVA_ALEXANDER_I_ZAVDOVYEVMulti_Rate_Tariffs_in_the_Management_of_Electricity_Demand.pdf
  23. Ege Lithium Iron Phosphate Battery 12.8V 150Ah. Available at: https://www.eco-greenenergy.com/product/ege-lithium-iron-phosphate-battery-12-8v-150ah/
Improving a model of the hybrid photovoltaic system with a storage battery for local object’s self-consumption involving the setting of power consumed from the grid

Downloads

Published

2023-06-30

How to Cite

Shavolkin, O., Shvedchykova, I., Lishchuk, V., & Stanovskyi, Y. (2023). Improving a model of the hybrid photovoltaic system with a storage battery for local object’s self-consumption involving the setting of power consumed from the grid. Eastern-European Journal of Enterprise Technologies, 3(8 (123), 6–16. https://doi.org/10.15587/1729-4061.2023.280053

Issue

Vol. 3 No. 8 (123) (2023): Energy-saving technologies and equipment

Section

Energy-saving technologies and equipment

License

Copyright (c) 2023 Olexander Shavolkin, Iryna Shvedchykova, Victoria Lishchuk, Yevhen Stanovskyi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.